Automatic recognition of an anomaly in a machine operation

Abstract

The disclosure relates to a method, a computer apparatus and a system for automatically recognizing an anomaly in a machine operation. The machine operation is, in particular, of machines for filling and packaging food and/or beverages. Anomaly recognition comprises the capturing of sensor data, the automatic categorization of these data according to operating states and the extraction of relevant features for each category of operating states. Threshold values are specified with the aid of statistical methods in order to define precise operating limits. This model is monitored and adjusted in order to respond to anomalies at an early stage and ensure operational safety. The disclosure creates a robust monitoring system that makes it possible to monitor the condition of the machine system in real time and respond at an early stage to deviating operating conditions. This contributes to increasing operational safety, avoiding downtime and optimizing maintenance processes.

Dependencies are inferred from the claim text.